Why the study?
Do novel indices of P-wave variability accurately identify patients with persistent atrial fibrillation compared to controls?
Do novel indices of P-wave variability accurately identify patients with persistent atrial fibrillation compared to controls?
Novel indices of P-wave variability, particularly the Cross-Correlation Index, demonstrate high sensitivity and specificity in distinguishing patients with persistent atrial fibrillation from controls.
May support P-wave variability indices in persistent AF evaluation; leaves open clinical utility pending prospective validation.
The analysis of P-wave template has been widely used to extract indices of Atrial Fibrillation (AF) risk stratification. The aim of this paper was to assess the potential of the analysis of the P-wave variability over time in patients suffering from atrial fibrillation. P-wave features extracted from P-wave template together with novel indices of P-wave variability have been estimated in a population of patients suffering from persistent AF and compared to those extracted from control subjects. We quantify the P-wave variability over time using three algorithms and we extracted three novel indices: one based on the cross-correlation coefficients among the P-waves (Cross-Correlation Index, CCI), one associated to variation in amplitude of the P-waves (Amplitude Dispersion Index, ADI), one sensible to the phase shift among P-waves (Warping Index, WI). The control group resulted to be characterized by shorter P-wave duration and by a less amount of fragmentation and variability, respect to AF patients. The parameter CCI shows the highest sensitivity (97.3%) and a good specificity (95%).
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Censi et al. (2016) studied this question.
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